Robust Model Predictive Control for Collective Pitch in Wind Energy Conversion Systems

Lasheen, Ahmed; Saad, M. S.; Emara, Hassan M.; El-Shafei, A.

doi:10.1016/j.ifacol.2017.08.1731

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…Modeling complexities, control limitations, and unmeasurable states are the main difficulties faced by a CPC design. A tube-based-model-predictive-output-feedback controller is implemented to build a CPC [60].…”

Section: Hydraulic Pitch Controller (Hpc)mentioning

confidence: 99%

A Review of Control Techniques for Wind Energy Conversion System

Manna

Singh

Akella

2023

Int. j. eng. technol. innov.

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Wind energy is the most efficient and advanced form of renewable energy (RE) in recent decades, and an effective controller is required to regulate the power generated by wind energy. This study provides an overview of state-of-the-art control strategies for wind energy conversion systems (WECS). Studies on the pitch angle controller, the maximum power point tracking (MPPT) controller, the machine side controller (MSC), and the grid side controller (GSC) are reviewed and discussed. Related works are analyzed, including evolution, software used, input and output parameters, specifications, merits, and limitations of different control techniques. The analysis shows that better performance can be obtained by the adaptive and soft-computing based pitch angle controller and MPPT controller, the field-oriented control for MSC, and the voltage-oriented control for GSC. This study provides an appropriate benchmark for further wind energy research.

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Section: Hydraulic Pitch Controller (Hpc)mentioning

confidence: 99%

A Review of Control Techniques for Wind Energy Conversion System

Manna

Singh

Akella

2023

Int. j. eng. technol. innov.

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“…Therefore, robust MPC can guarantee the optimal operation of the system when the uncertainty has the maximum effect on the controller by exploiting the uncertainty bound. On this basis, a tube-based MPC incorporated output-feedback law was proposed to realize a collective pitch control for regulating the generated power in the high wind speed region [18]. In the literature [19], a tube-based robust MPC strategy based on a linear time-varying model was designed to achieve effective control of the WPGS.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study of Robust MPC and Stochastic MPC of Wind Power Generation System

2022

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In this paper, a complete comparison analysis of two advanced control algorithms, namely robust model predictive control (MPC) and stochastic MPC, is performed in order to optimize the operation of a wind power generation system (WPGS). The power maximization often conflicts with the mechanical load experienced by the turbine in the full-load region (i.e., the higher the power extracted, the higher the load) under the wind speed disturbance, thereby leading to high maintenance cost resulting from the fatigue damage. Thus, a typical 5 MW wind turbine operating in a high-speed region is considered to guarantee system security and economy. The robust MPC is designed by utilizing the min–max framework to track steady-state optimum operating reference trajectory with the deterministic constraint of output power, while the stochastic MPC is constructed by incorporating the invariant set theory to also ensure the system security subjecting to the probabilistic constraint of output power. The relation between the constraints and the implications on optimal performance are also studied. Comprehensive simulations on a mechanism model and FAST simulator are carried out to demonstrate the validation of the two control methods under various scenarios. It is discovered that when wind speed in the near future can be predicted and utilized in controller design, the stochastic MPC can effectively reduce the maintenance cost by suppressing the constraint violation rate compared to robust MPC with a similar energy utilization due to the incorporation of the stochastic characteristics of wind speed.

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Grid Integration Challenges of Wind Energy: A Review

et al. 2020

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The strengthening of electric energy security and the reduction of greenhouse gas emissions have gained enormous momentum in previous decades. The integration of large-scale intermittent renewable energy resources (RER) like wind energy into the existing electricity grids has increased significantly in the last decade. However, this integration poses many operational and control challenges that hamper the reliable and stable operation of the grids. This article aims to review the reported challenges caused by the integration of wind energy and the proposed solutions methodologies. Among the various challenges, the generation uncertainty, power quality issues, angular and voltage stability, reactive power support, and fault ride-through capability are reviewed and discussed. Besides, socioeconomic, environmental, and electricity market challenges due to the grid integration of wind power are also investigated. Many of the solutions used and proposed to mitigate the impact of these challenges, such as energy storage systems, wind energy policy, and grid codes, are also reviewed and discussed. This paper will assist the enthusiastic readers in seeing the full picture of wind energy integration challenges. It also puts in the hands of policymakers all aspects of the challenges so that they can adopt sustainable policies that support and overcome the difficulties facing the integration of wind energy into electricity grids. INDEX TERMS Angular stability, energy storage system, fault ride-through capability, frequency response, grid codes, reactive power support, voltage stability, wind intermittency. • Induction generator (squirrel cage (type 1) and wound rotor (type 2))

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Robust Model Predictive Control for Collective Pitch in Wind Energy Conversion Systems

Cited by 3 publications

References 7 publications

A Review of Control Techniques for Wind Energy Conversion System

A Review of Control Techniques for Wind Energy Conversion System

A Comparative Study of Robust MPC and Stochastic MPC of Wind Power Generation System

Grid Integration Challenges of Wind Energy: A Review

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